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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "MemoryManager.h"
#include <cassert>
#include <MemoryPlannerFactory.h>
#include "util/logging.h"
#include "util/ConfigSource.h"
namespace neurun
{
namespace backend
{
namespace srcn
{
MemoryManager::MemoryManager() : _mem_planner{createMemoryPlanner()}
{
// DO NOTHING
}
MemoryManager::MemoryManager(const std::string planner_id)
: _mem_planner{createMemoryPlanner(planner_id)}
{
// DO NOTHING
}
cpu_common::IMemoryPlanner *MemoryManager::createMemoryPlanner()
{
auto planner_id = util::getConfigString(util::config::CPU_MEMORY_PLANNER);
return cpu_common::MemoryPlannerFactory::get().create(planner_id);
}
cpu_common::IMemoryPlanner *MemoryManager::createMemoryPlanner(const std::string planner_id)
{
return cpu_common::MemoryPlannerFactory::get().create(planner_id);
}
void MemoryManager::buildTensor(const ir::OperandIndex &ind, const ir::OperandInfo &info,
ir::Layout layout)
{
auto tensor = std::make_shared<operand::Tensor>(info, layout);
_tensors[ind] = tensor;
}
void MemoryManager::claimPlan(const ir::OperandIndex &ind, uint32_t size)
{
_mem_planner->claim(ind, size);
}
void MemoryManager::releasePlan(const ir::OperandIndex &ind) { _mem_planner->release(ind); }
void MemoryManager::allocate(void)
{
_mem_alloc = std::make_shared<cpu_common::Allocator>(_mem_planner->capacity());
assert(_mem_alloc->base());
for (auto &mem_plan : _mem_planner->memory_plans())
{
auto ind = mem_plan.first;
auto mem_blk = mem_plan.second;
uint8_t *buffer = _mem_alloc->base() + mem_blk.offset;
auto tensor = _tensors[ind];
tensor->setBuffer(buffer);
VERBOSE(CPU_MEMORYMANAGER) << "TENSOR(#" << ind.value() << "): " << static_cast<void *>(buffer)
<< std::endl;
// If we do not make tensor here currently, kernel generation would cause segmentation fault.
// See also : Comments in `allocate` method.
}
}
} // namespace srcn
} // namespace backend
} // namespace neurun
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